Automated Sentiment Analysis And/Or Geotagging of Social Network Posts

2. The system of claim 1, at least one of: (i) wherein the specific topic is defined for a specific geographic location in the specific geographic region, wherein selecting comprises selecting the subset of the plurality of user generated content items having geo-location tags matching a specific spatiotemporal event, wherein extracting comprises extracting data captured by at least one sensor depicting people activity in the specific geographic location, and (ii) wherein the specific topic is a specific spatiotemporal event defined for a specific time interval in a specific geographic location in the specific geographic region, wherein selecting comprises selecting the subset of the plurality of user generated content items having geo-location tags and timestamps matching the specific spatiotemporal event, wherein extracting comprises extracting data captured by at least one sensor depicting people activity in the specific geographic location at the specific time interval.

6. The system of claim 5, wherein a first historical sentiment profile of a plurality of sentiment values computed over a historical time interval computed for the geographic location external to the geographic region of the specific spatiotemporal event has a distribution that is similar to a second historical sentiment profile of a plurality of sentiment values computed over the historical time interval for the geographic region of the specific spatiotemporal event.

11. The system of claim 9, wherein the plurality of historical user generated content items match the specific geographic region of the specific spatiotemporal event prior to the specific spatiotemporal event.

12. The system of claim 11, wherein said hardware processor executing additional code for computing an increase in sentiment for the specific spatiotemporal event relative to the sentiment baseline, and/or computing a descent rate from the increase in sentiment for the specific spatiotemporal event until the sentiment baseline, the descent rate computed by iteratively computing the sentiment using corresponding sequentially posted user generated content items, wherein the descent rate compared to the sentiment baseline indicates an impact of the spatiotemporal event.